M. Greven
Papers
1
Total Citations
3
H-Index
1
About
M. Greven’s research lies at the intersection of precision horticulture and computer vision, with a primary focus on developing automated diagnostic tools for complex plant diseases. Their most cited work, presented at the prestigious XXXI International Horticultural Congress (IHC2022), introduces a groundbreaking computer vision system capable of diagnosing multi-symptom grape vine diseases—a significant challenge in viticulture where symptoms often overlap. This contribution addresses a critical gap in precision agriculture, enabling early, non-invasive detection that can reduce crop losses and minimize chemical treatments. With 3 citations already, this paper is gaining traction among researchers in digital horticulture and robotics. Greven’s work exemplifies the growing trend of integrating artificial intelligence with field-based agricultural practices, offering practical solutions for sustainable vineyard management. Their achievements highlight a commitment to advancing mechanization and precision horticulture, making them a notable voice in the push toward data-driven, automated crop health monitoring.
Research Focus
Key Achievements
Top Papers
- 1